The playbook
Digital PR: Worked Examples
The following digital PR examples illustrate how to move from an observed problem to a practical decision. They are hypothetical operating scenarios, not customer results or performance benchmarks. The central question is whether the work helps improve relevant earned coverage without losing the context needed to judge it.
Put the task in context
An original study should explain the question, data source, sample, calculation, and limitations. Offer journalists the actual finding and underlying context. A dramatic headline cannot compensate for a sample that does not support the claim being made.
Example 1: establish a usable starting point
A team begins working on digital PR but cannot consistently describe story and evidence for the same item. The immediate task is find a useful question supported by original evidence. The team records the current state, identifies the source of each value, and resolves conflicting information before making a broader change.
The useful output is a page or query record that another person can interpret. This example does not require assuming an uplift. Success at this stage means the next decision can be made using a shared set of facts, with missing information explicitly identified.
Example 2: correct a specific failure
In a second situation, the team observes publishing dramatic claims unsupported by the underlying data. It proposes the correction: disclose methods limits and the exact evidence behind the story. Before applying that correction everywhere, the owner checks whether the same cause is present in other affected items. A common symptom alone does not prove that all items need the same repair.
| Decision | Illustrative reasoning |
|---|---|
| Observation | Publishing dramatic claims unsupported by the underlying data |
| Likely correction | Disclose methods limits and the exact evidence behind the story |
| Verification task | Prepare a clear finding with transparent methodology |
| Result to inspect | Pitch appropriate writers with a concise relevant angle |
After the change, the owner repeats the relevant task and records what happened. If the condition remains, the team returns to the evidence rather than declaring the process complete. The example illustrates a repair cycle; it does not claim a particular commercial result.
Example 3: extend a process after it works
A third team already has reliable records for a small scope and wants to expand. It compares the next group with the first: are story, evidence, publisher defined in the same way, and does the intended outcome remain relevant earned coverage? Differences are written down before the earlier process is reused.
Expansion is appropriate when the assumptions still hold and an owner can review exceptions. Where the new group has different needs, the team adapts the process and tests again. Reusing the structure is useful; reusing a conclusion without checking its conditions is much less reliable.
Apply the examples to your own work
- Write the current problem in observable terms using story.
- Choose which of the three examples matches the stage of the work.
- Complete this action first: find a useful question supported by original evidence.
- Keep the resulting evidence and review relevant earned coverage on a consistent basis.
Keep a dated record of the page or query being examined. Search interfaces and external references can change. A saved observation should include enough context to distinguish an old issue from the current state.
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